05700nam 2200769Ia 450 991082725320332120200520144314.01-283-10093-297866131009310-470-97811-20-470-97817-10-470-97816-3(CKB)3400000000000313(EBL)792461(OCoLC)705929596(SSID)ssj0000471724(PQKBManifestationID)11282455(PQKBTitleCode)TC0000471724(PQKBWorkID)10428277(PQKB)11514198(MiAaPQ)EBC792461(MiAaPQ)EBC4029204(Au-PeEL)EBL792461(CaPaEBR)ebr10446771(CaONFJC)MIL310093(PPN)242398340(EXLCZ)99340000000000031320101012d2011 uy 0engur|n|---|||||txtccrNoise and vibration analysis signal analysis and experimental procedures /Anders Brandt1st ed.Chichester, West Sussex, U.K. ;Hoboken, N.J. Wiley20111 online resource (466 p.)Description based upon print version of record.0-470-74644-0 Includes bibliographical references and index.NOISE AND VIBRATIONANALYSIS; Contents; About the Author; Preface; Acknowledgements; List of Abbreviations; Notation; 1 Introduction; 1.1 Noise and Vibration; 1.2 Noise and Vibration Analysis; 1.3 Application Areas; 1.4 Analysis of Noise and Vibrations; 1.4.1 Experimental Analysis; 1.5 Standards; 1.6 Becoming a Noise and Vibration Analysis Expert; 1.6.1 The Virtue of Simulation; 1.6.2 Learning Tools and the Format of this Book; 2 Dynamic Signals and Systems; 2.1 Introduction; 2.2 Periodic Signals; 2.2.1 Sine Waves; 2.2.2 Complex Sines; 2.2.3 Interacting Sines; 2.2.4 Orthogonality of Sines2.3 Random Signals2.4 Transient Signals; 2.5 RMS Value and Power; 2.6 Linear Systems; 2.6.1 The Laplace Transform; 2.6.2 The Transfer Function; 2.6.3 The Impulse Response; 2.6.4 Convolution; 2.7 The Continuous Fourier Transform; 2.7.1 Characteristics of the Fourier Transform; 2.7.2 The Frequency Response; 2.7.3 Relationship between the Laplace and Frequency Domains; 2.7.4 Transient versus Steady-state Response; 2.8 Chapter Summary; 2.9 Problems; References; 3 Time Data Analysis; 3.1 Introduction to Discrete Signals; 3.2 The Sampling Theorem; 3.2.1 Aliasing3.2.2 Discrete Representation of Analog Signals3.2.3 Interpolation and Resampling; 3.3 Filters; 3.3.1 Analog Filters; 3.3.2 Digital Filters; 3.3.3 Smoothing Filters; 3.3.4 Acoustic Octave Filters; 3.3.5 Analog RMS Integration; 3.3.6 Frequency Weighting Filters; 3.4 Time Series Analysis; 3.4.1 Min- and Max-analysis; 3.4.2 Time Data Integration; 3.4.3 Time Data Differentiation; 3.4.4 FFT-based Processing; 3.5 Chapter Summary; 3.6 Problems; References; 4 Statistics and Random Processes; 4.1 Introduction to the Use of Statistics; 4.1.1 Ensemble and Time Averages; 4.1.2 Stationarity and Ergodicity4.2 Random Theory4.2.1 Expected Value; 4.2.2 Errors in Estimates; 4.2.3 Probability Distribution; 4.2.4 Probability Density; 4.2.5 Histogram; 4.2.6 Sample Probability Density Estimate; 4.2.7 Average Value and Variance; 4.2.8 Central Moments; 4.2.9 Skewness; 4.2.10 Kurtosis; 4.2.11 Crest Factor; 4.2.12 Correlation Functions; 4.2.13 The Gaussian Probability Distribution; 4.3 Statistical Methods; 4.3.1 Hypothesis Tests; 4.3.2 Test of Normality; 4.3.3 Test of Stationarity; 4.4 Quality Assessment of Measured Signals; 4.5 Chapter Summary; 4.6 Problems; References; 5 Fundamental Mechanics5.1 Newton's Laws5.2 The Single Degree-of-freedom System (SDOF); 5.2.1 The Transfer Function; 5.2.2 The Impulse Response; 5.2.3 The Frequency Response; 5.2.4 The Q-factor; 5.2.5 SDOF Forced Response; 5.3 Alternative Quantities for Describing Motion; 5.4 Frequency Response Plot Formats; 5.4.1 Magnitude and Phase; 5.4.2 Real and Imaginary Parts; 5.4.3 The Nyquist Plot - Imaginary vs. Real Part; 5.5 Determining Natural Frequency and Damping; 5.5.1 Peak in the Magnitude of FRF; 5.5.2 Peak in the Imaginary Part of FRF; 5.5.3 Resonance Bandwidth (3 dB Bandwidth); 5.5.4 Circle in the Nyquist Plot5.6 Rotating MassNoise and Vibration Analysis is a complete and practical guide that combines both signal processing and modal analysis theory with their practical application in noise and vibration analysis. It provides an invaluable, integrated guide for practicing engineers as well as a suitable introduction for students new to the topic of noise and vibration. Taking a practical learning approach, Brandt includes exercises that allow the content to be developed in an academic course framework or as supplementary material for private and further study.Addresses the theory and application of sAcoustical engineeringNoiseMathematical modelsSignal processingStochastic analysisVibrationMathematical modelsAcoustical engineering.NoiseMathematical models.Signal processing.Stochastic analysis.VibrationMathematical models.620.3TEC006000bisacshBrandt Anders997254MiAaPQMiAaPQMiAaPQBOOK9910827253203321Noise and vibration analysis2287153UNINA